Bayesian Health

Infrastructure Engineer

• Build and maintain the infrastructure for the Bayesian platform
• Develop CI/CD to enable other team members such as software engineers, data scientists to accelerate their development
• Propose enhancement to our infrastructure design to manage cloud costs and ensure reliability
• Define a branching and promotion strategy that comply with the regulatory change control process
• Build and maintain CI/CD pipelines using GitHub for automated testing and deployment
• Create infrastructure guidelines and templates such as Terraform modules
• Continuous monitoring of system performance and reliability, and apply software upgrades accordingly
• Collaborate with team members in troubleshooting infrastructure issues and optimizing performance
• Partner with SecOps engineer to implement security best practices complying with HIPAA, HITRUST, FDA, and client requirements
• Architect and build a secure, internal AI Ops platform to host and manage AI/ML agents for infrastructure optimization.

Full-stack Engineer

• Design, develop, test, deploy, and maintain robust and scalable full-stack clinical AI modules in production.
• Leverage AI coding tools (e.g., Claude Code, Cursor) to rapidly build an end-to-end application in production quality grade and AI agents to optimize testing, debugging, and production maintenance.
• Partner with product managers, clinical, data scientists, and other software engineers to integrate our AI insights into intuitive and seamless clinical workflows.
• Develop comprehensive and robust automated end-to-end tests to ensure platform and application functional integrity, meeting the requirements of enterprise health systems and regulatory.

Infrastructure Engineer

Software Engineer, Full Stack